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Attention Score in Context
| Title |
Transparency and cooperation in repeated dilemma games: a meta study
|
|---|---|
| Published in |
Experimental Economics, February 2017
|
| DOI | 10.1007/s10683-017-9517-4 |
| Pubmed ID | |
| Authors |
Lenka Fiala, Sigrid Suetens |
| Abstract |
We use data from experiments on finitely repeated dilemma games with fixed matching to investigate the effect of different types of information on cooperation. The data come from 71 studies using the voluntary contributions paradigm, covering 122 data points, and from 18 studies on decision-making in oligopoly, covering another 50 data points. We find similar effects in the two sets of experimental games. We find that transparency about what everyone in a group earns reduces contributions to the public good, as well as the degree of collusion in oligopoly markets. In contrast, transparency about choices tends to lead to an increase in contributions and collusion, although the size of this effect varies somewhat between the two settings. Our results are potentially useful for policy making, because they provide guidance on the type of information to target in order to stimulate or limit cooperation. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Unknown | 39 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 28% |
| Student > Master | 5 | 13% |
| Researcher | 5 | 13% |
| Professor | 2 | 5% |
| Lecturer | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 11 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 8 | 20% |
| Psychology | 5 | 13% |
| Computer Science | 3 | 8% |
| Social Sciences | 3 | 8% |
| Business, Management and Accounting | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 17 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 July 2017.
All research outputs
#14,335,670
of 22,957,478 outputs
Outputs from Experimental Economics
#253
of 338 outputs
Outputs of similar age
#176,852
of 311,668 outputs
Outputs of similar age from Experimental Economics
#4
of 8 outputs
Altmetric has tracked 22,957,478 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 338 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 311,668 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.